Open Other Current Liab vs Total Assets Analysis
OTEX Stock | CAD 40.78 0.40 0.99% |
Open Text financial indicator trend analysis is much more than just breaking down Open Text Corp prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Open Text Corp is a good investment. Please check the relationship between Open Text Other Current Liab and its Total Assets accounts. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Other Current Liab vs Total Assets
Other Current Liab vs Total Assets Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Open Text Corp Other Current Liab account and Total Assets. At this time, the significance of the direction appears to have very strong relationship.
The correlation between Open Text's Other Current Liab and Total Assets is 0.8. Overlapping area represents the amount of variation of Other Current Liab that can explain the historical movement of Total Assets in the same time period over historical financial statements of Open Text Corp, assuming nothing else is changed. The correlation between historical values of Open Text's Other Current Liab and Total Assets is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Other Current Liab of Open Text Corp are associated (or correlated) with its Total Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Total Assets has no effect on the direction of Other Current Liab i.e., Open Text's Other Current Liab and Total Assets go up and down completely randomly.
Correlation Coefficient | 0.8 |
Relationship Direction | Positive |
Relationship Strength | Strong |
Other Current Liab
Total Assets
Total assets refers to the total amount of Open Text assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Open Text Corp books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. The total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets.Most indicators from Open Text's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Open Text Corp current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. At this time, Open Text's Selling General Administrative is very stable compared to the past year. As of the 22nd of November 2024, Sales General And Administrative To Revenue is likely to grow to 0.11, while Tax Provision is likely to drop about 145.4 M.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 2.4B | 3.2B | 4.2B | 4.4B | Total Revenue | 3.5B | 4.5B | 5.8B | 6.1B |
Open Text fundamental ratios Correlations
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Open Text Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Open Text fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Common Stock Shares Outstanding | 271.8M | 273.5M | 271.9M | 270.5M | 272.6M | 239.3M | |
Total Assets | 10.2B | 9.6B | 10.2B | 17.1B | 14.2B | 14.9B | |
Short Long Term Debt Total | 4.5B | 3.9B | 4.5B | 9.2B | 6.7B | 7.0B | |
Other Current Liab | 376.5M | 17.4M | 51.1M | 922.8M | 1.0B | 1.1B | |
Total Current Liabilities | 1.9B | 1.4B | 1.5B | 3.2B | 2.8B | 2.9B | |
Total Stockholder Equity | 4.0B | 4.1B | 4.0B | 4.0B | 4.2B | 4.4B | |
Property Plant And Equipment Net | 452.4M | 468.1M | 442.8M | 642.6M | 587.5M | 616.9M | |
Net Debt | 2.8B | 2.3B | 2.8B | 8.0B | 5.4B | 5.7B | |
Retained Earnings | 2.2B | 2.2B | 2.2B | 2.0B | 2.1B | 2.2B | |
Accounts Payable | 41.5M | 423.6M | 448.6M | 162.7M | 151.2M | 128.4M | |
Cash | 1.7B | 1.6B | 1.7B | 1.2B | 1.3B | 1.3B | |
Non Current Assets Total | 7.8B | 7.4B | 7.9B | 14.8B | 11.9B | 12.5B | |
Non Currrent Assets Other | 123.5M | 141.7M | 147.5M | 313.3M | 268.9M | 282.3M | |
Cash And Short Term Investments | 1.7B | 1.6B | 1.7B | 1.2B | 1.3B | 1.3B | |
Net Receivables | 557.1M | 496.2M | 471.1M | 821.9M | 753.8M | 791.4M | |
Liabilities And Stockholders Equity | 10.2B | 9.6B | 10.2B | 17.1B | 14.2B | 14.9B | |
Non Current Liabilities Total | 4.3B | 4.1B | 4.7B | 9.8B | 7.2B | 7.6B | |
Other Current Assets | 136.4M | 72.9M | 87.2M | 175.9M | 192.1M | 201.7M | |
Other Stockholder Equity | (4.0B) | (4.1B) | (4.2B) | (4.2B) | (123.3M) | (129.4M) | |
Total Liab | 6.2B | 5.5B | 6.1B | 13.1B | 10.0B | 10.5B | |
Property Plant And Equipment Gross | 452.4M | 468.1M | 442.8M | 1.3B | 1.3B | 1.4B | |
Total Current Assets | 2.4B | 2.2B | 2.3B | 2.3B | 2.3B | 2.4B | |
Accumulated Other Comprehensive Income | 17.8M | 66.2M | (7.7M) | (53.6M) | (69.6M) | (66.1M) | |
Short Term Debt | 674.1M | 68.3M | 66.4M | 412.3M | 112.3M | 83.2M | |
Short Term Investments | 7.5M | 3.0M | 6.3M | 2.6M | 4.1M | 4.3M | |
Intangible Assets | 1.6B | 1.2B | 1.1B | 4.1B | 2.5B | 2.6B | |
Current Deferred Revenue | 812.2M | 852.6M | 902.2M | 1.7B | 1.5B | 1.6B | |
Good Will | 4.7B | 4.7B | 5.2B | 8.7B | 7.5B | 7.9B | |
Common Stock | 1.9B | 1.9B | 2.0B | 2.2B | 2.3B | 1.5B | |
Other Liab | 522.4M | 344.7M | 270.2M | 1.0B | 1.2B | 1.2B | |
Net Tangible Assets | (2.3B) | (1.8B) | (2.4B) | (8.7B) | (7.9B) | (7.5B) | |
Other Assets | 1.0B | 938.4M | 957.7M | 1.4B | 1.6B | 978.7M | |
Long Term Debt | 3.6B | 3.6B | 4.2B | 8.6B | 6.4B | 3.9B | |
Deferred Long Term Liab | 35.6M | 43.0M | 50.3M | 55.5M | 49.9M | 43.5M | |
Long Term Investments | 76.0M | 121.8M | 173.2M | 187.8M | 164.7M | 91.7M | |
Property Plant Equipment | 387.0M | 401.9M | 370.6M | 642.6M | 739.0M | 776.0M | |
Long Term Debt Total | 3.6B | 3.6B | 4.2B | 8.6B | 9.9B | 10.3B |
Pair Trading with Open Text
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Open Text position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Open Text will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Open Text could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Open Text when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Open Text - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Open Text Corp to buy it.
The correlation of Open Text is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Open Text moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Open Text Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Open Text can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Open Text Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.